RESEARCH METHODS FOR AIR TRANSPORT MANAGEMENT - 2022/3
Module code: MANM347
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice in time for the start of the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
The Research Methods module aims to help students to develop an understanding of the research process and to undertake research leading to successful completion of their dissertation. It enables students to conduct research independently and also provides them with the knowledge, skills and understanding required to develop their proposal for their dissertation. The module covers ideas, techniques, and methods relevant to different stages of the research process, stressing the interdependence of each stage in conducting effective, coherent and rigorous research. By covering the fundamentals of research methods and research methodologies, this module will enable students to conduct research independently and provide them with the knowledge and understanding needed to do a dissertation.
Hospitality, Tourism & Events Management
THOMOPOULOS Nikolaos (Hosp & Tour)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: N853
Module cap (Maximum number of students): N/A
Overall student workload
Workshop Hours: 35
Independent Learning Hours: 115
Prerequisites / Co-requisites
Indicative content includes:
- Introduction to research
- Formulating research aims and objectives
- Developing a conceptual framework
- Critically reviewing the literature
- Negotiating access and ethical issues in research
- Sampling strategies
- Data collection methods
- Obtaining secondary data
- Measurement and scaling (questionnaires)
- Data collection instruments (interviews and observation)
- Analysing quantitative data
- Analysing qualitative data
- Developing a research proposal
- Writing and presenting the research project
|Assessment type||Unit of assessment||Weighting|
|Coursework||INDIVIDUAL ASSIGNMENT (RESEARCH PROP 4000 WORDS)||100|
The assessment strategy is designed to give the students the opportunity to demonstrate their breadth and depth of understanding of both the theory of research methods and its application to research problems. The assessment strategy has 2 elements (one formative and one summative). Only the summative assessment counts towards the student’s final grade for the module:
Formative online multiple choice tests with immediate online personal explanatory feedback for selected answers (via SurreyLearn).
End of module summative individual assignment is designed to test the students’ ability to apply their knowledge to a specific research problem in the form of research proposal.
In addition students will discuss questions related to a range of research scenarios within the lectures. They are also directed to a range of other online self-test resources.
Students receive feedback throughout the semester via face to face teaching which will support them to complete the assessments.
- Introduce the fundamentals of the research process.
- Enable students to effectively define their research problem
- Highlight the main research paradigms and approaches that are relevant to research in management disciplines.
- Provide students with an introduction to qualitative and quantitative research methods
- Explain the differences between quantitative and qualitative data collection techniques and analysis procedures.
- Provide students with hands-on experience with basic data collection and data analysis.
- Stress the ethical aspects of research and how to embed them into research practice.
|1||Understand the stages of the research process and demonstrate an ability to perform them.||CPT|
|2||Identify the attributes of a good research topic and turn research ideas into research problems.||CPT|
|3||Conduct a review of appropriate literature relevant to a stated research topic.||CPT|
|4||Distinguish between main research approaches and epistemological positions||KCPT|
|5||Understand a range of data collection tools in order to design an effective research method||KCPT|
|6||Use quantitative and qualitative data analysis procedures to serve the purpose of a research project.||KCPT|
|7||Anticipate ethical issues at each stage of the research process, and be aware of a range of strategies to deal with them||KCPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The teaching and learning strategy for this module is designed to encourage students to think critically about the different stages of the research process and to engage in evaluating the different research methods and techniques.
- Lectures delivered by the module tutor designed to develop an understanding of theory. Student-led class discussions of mini case studies and research scenarios to put theory into application and transform the acquired knowledge into practice.
- Students are expected to support the work undertaken during each lecture by undertaking a number of independent learning activities:
- Preparatory reading with questions to guide their note taking.
- Follow up exercises to consolidate their learning, where appropriate applying this to new situations.
- Guided further reading to enable them to extend their knowledge and understanding.
- To support student learning of statistics, students will be divided into smaller groups and will be introduced to and trained on the basics of conducting quantitative data analysis using SPSS. Students are expected to support their learning by practising in their own time using the exercises and data sets provided by the lecturers.
The University’s SurreyLearn will be used to support student learning by providing them with additional resources and links to useful websites. SurreyLearn will also be used for further discussion of the module topics between the students and the lecturers as well as the students and their colleagues. Additionally, PowerPoint presentations and case studies used by the lecturers will be placed on SurreyLearn before the lecture so that students may print off copies in time for the lecture.
The ethos of this module is that students will learn best when they become active participants in the learning process and this is reflected in all elements of the module design. For example:
- Students will be expected to actively engage in all statistics practical classes held in the computer labs.
- Not all elements of the curricula will be covered in detail in the lecture programme, students will be expected to find things out for themselves.
- Students will be expected to prepare for all lectures by undertaking the pre-reading.
- They should also read beyond lecture notes and the recommended textbook. A list of specific reading is provided but the expectation is that this represents a starting point for reading and not an inclusive list.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: MANM347
Programmes this module appears in
|Air Transport Management MSc||1||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.